Run
68037

Run 68037

Task 3602 (Supervised Classification) visualizing_environmental Uploaded 30-11-2014 by Joaquin Vanschoren
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
Issue #Downvotes for this reason By


Flow

weka.Bagging_NaiveBayes(2)Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
weka.Bagging_NaiveBayes(2)_I160
weka.Bagging_NaiveBayes(2)_P100
weka.Bagging_NaiveBayes(2)_S1
weka.Bagging_NaiveBayes(2)_Wweka.classifiers.bayes.NaiveBayes
weka.Bagging_NaiveBayes(2)_num-slots1

Result files

xml
Description

XML file describing the run, including user-defined evaluation measures.

model
Model readable

A human-readable description of the model that was built.

model
Model serialized

A serialized description of the model that can be read by the tool that generated it.

arff
Predictions

ARFF file with instance-level predictions generated by the model.

21 Evaluation measures

Area under ROC curve
0.7271
Per class
Cross-validation details (10-fold Crossvalidation)
Build CPU time
0.0149
Cross-validation details (10-fold Crossvalidation)
Build memory
814556861.982
Cross-validation details (10-fold Crossvalidation)
F measure
0.682
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.3747
Cross-validation details (10-fold Crossvalidation)
KB relative information score
35.4719
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.3473
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.499
Cross-validation details (10-fold Crossvalidation)
Number of instances
111
Per class
Cross-validation details (10-fold Crossvalidation)
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.6986
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.6847
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9986
Cross-validation details (10-fold Crossvalidation)
Recall
0.6847
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.6959
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4995
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.4689
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.9388
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
932.5791